pytorch/test/cpp/jit
Michael Suo 0d220ef381 [torchbind] Better error message when missing init. (#37474)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/37474

Previously we would segfault

Test Plan: Imported from OSS

Differential Revision: D21297542

Pulled By: suo

fbshipit-source-id: c7e2f828a250c490ec23fb51c6a4a642d3370e52
2020-05-13 17:38:31 -07:00
..
__init__.py
CMakeLists.txt [cmake] add USE_SYSTEM_{XNNPACK,ONNX} options. (#37501) 2020-04-29 09:26:16 -07:00
gtest.cpp
README.md
test_alias_analysis.cpp [jit] speed up alias analysis (#36345) 2020-04-30 18:27:41 -07:00
test_argument_spec.cpp Adding symbolic sizes, contiguity, stride indices (#36101) 2020-05-01 02:01:25 -07:00
test_autodiff.cpp Adding symbolic sizes, contiguity, stride indices (#36101) 2020-05-01 02:01:25 -07:00
test_base.cpp [pytorch] Fix fblearner flow compiling errors (#35902) 2020-04-02 14:52:48 -07:00
test_base.h
test_class_import.cpp [jit] normalize getMethod (#37472) 2020-05-06 15:22:25 -07:00
test_class_parser.cpp
test_class_type.cpp
test_code_template.cpp
test_constant_pooling.cpp Teach IRParser to parse strides along with sizes in a tensor type. (#36951) 2020-04-21 17:27:15 -07:00
test_create_autodiff_subgraphs.cpp
test_custom_class.cpp [torchbind] Better error message when missing init. (#37474) 2020-05-13 17:38:31 -07:00
test_custom_operators.cpp [JIT] clang-format JIT code (#35115) 2020-03-26 11:24:51 -07:00
test_dce.cpp
test_fuser.cpp [wip] update graph fuser aliasdb in-place (#37106) 2020-04-30 22:21:35 -07:00
test_gpu.cpp [CUDA_FUSER] Expand operation support for cuda fuser (#37849) 2020-05-07 09:21:09 -07:00
test_graph_executor.cpp
test_inliner.cpp [JIT] clang-format JIT code (#35115) 2020-03-26 11:24:51 -07:00
test_interface.cpp [jit] fix named tuples as attributes (#37251) 2020-04-24 17:48:44 -07:00
test_interpreter.cpp
test_ir.cpp
test_irparser.cpp Teach IRParser to parse strides along with sizes in a tensor type. (#36951) 2020-04-21 17:27:15 -07:00
test_jit_type.cpp
test_lite_interpreter.cpp Add DICT_CONSTRUCT and NAMED_TUPLE_CONSTRUCT to lite interpreter (#36015) 2020-04-04 09:52:58 -07:00
test_misc.cpp Move ThreadLocalDebugInfo to c10 (#37774) 2020-05-11 19:27:41 -07:00
test_mobile_type_parser.cpp [JIT] clang-format JIT code (#35115) 2020-03-26 11:24:51 -07:00
test_module_api.cpp [jit] __copy__ for RecursiveScriptModule (#36830) 2020-05-06 13:55:01 -07:00
test_peephole_optimize.cpp [JIT] Dont optimize shape peepholes on inline (#36404) 2020-04-15 17:49:48 -07:00
test_qualified_name.cpp
test_save_load.cpp Fix clang-format (#35969) 2020-04-03 14:36:20 -07:00
test_schema_matching.cpp [JIT] clang-format JIT code (#35115) 2020-03-26 11:24:51 -07:00
test_subgraph_matcher.cpp [JIT] clang-format JIT code (#35115) 2020-03-26 11:24:51 -07:00
test_subgraph_rewriter.cpp [JIT] clang-format JIT code (#35115) 2020-03-26 11:24:51 -07:00
test_subgraph_utils.cpp
test_utils.cpp [JIT] clang-format JIT code (#35115) 2020-03-26 11:24:51 -07:00
test_utils.h [JIT] clang-format JIT code (#35115) 2020-03-26 11:24:51 -07:00
tests.h [CUDA_FUSER] Expand operation support for cuda fuser (#37849) 2020-05-07 09:21:09 -07:00
tests_setup.py
torch_python_test.cpp Enable tensorexpr cpp tests in CI. try #2 (#35454) 2020-03-27 12:09:55 -07:00

JIT C++ Tests

How to add a new test

First, create a new test file. Test files should have be placed in this directory, with a name that starts with test_, like test_foo.cpp.

Here is an example test file you can copy-paste.

#include <test/cpp/jit/test_base.h>

// Tests go in torch::jit
namespace torch {
namespace jit {

// 1. Test cases are void() functions.
// 2. They start with the prefix `test`
void testCaseOne() {
    // ...
}

void testCaseTwo() {
    // ...
}
}
}

Then, register your test in tests.h:

// Add to TH_FORALL_TESTS_CUDA instead for CUDA-requiring tests
#define TH_FORALL_TESTS(_)             \
  _(ADFormulas)                        \
  _(Attributes)                        \
  ...
  _(CaseOne)  // note that the `test` prefix is omitted.
  _(CaseTwo)

We glob all the test files together in CMakeLists.txt so that you don't have to edit it every time you add a test. Unfortunately, this means that in order to get the build to pick up your new test file, you need to re-run cmake:

python setup.py build --cmake

Why do we have two different test runners?

We have two different ways of running our cpp tests:

  1. With gtest, from a standalone binary.
  2. With Python, from TestJit.test_cpp and TestJit.test_cpp_cuda (in test/test_jit.py)

We want both because we need to test things from a pure-C++ environment and with all our various Python patch-points enabled.

How do I run the tests?

The following commands assume you are in PyTorch root.

  1. With gtest:
    # (re)build the test binary
    ninja build/bin/test_jit
    # run
    build/bin/test_jit --gtest_filter='glob_style_filter*'
    
  2. With Python:
    python test/test_jit.py TestJit.test_cpp TestJit.test_cpp_cuda